Job Details:

Job Description:

Are you passionate about software validation, developing tools and AI Solutions, automating software validation process at scale . Then GPU IP Graphics team has opportunities for you. Our Graphics validation team is creating AI solutions, complex test tools and automated tests for Kernel Mode driver, Memory Managers, Virtualization graphics and compute apps automation at scale. We deliver Intel’s Software Graphics, media, display driver solutions across client, server and embedded markets. This position requires involvement in all phases of design from pre-silicon emulation/simulation through post-silicon product launch, covering aspects of functionality, power and performance and debuggability. You will also get opportunities to work on innovation projects utilizing modern GenAI technologies to implement advanced AI solutions to domain specific content. In this position, you will have the opportunity to work with multiple teams such as OS Microsoft, BIOS, HW, Customer Engineering, multiple Graphics SW teams etc. The candidate should have passion for technology and software, outstanding communication and teamwork skills. In this position you will be responsible for working across Hardware and Software Architecture, Design, Simulation, development and Validation throughout the product lifecycle to deliver high performing, scalable and power efficient hardware and software solutions.

Qualifications:

Minimum Qualifications • Bachelor’s degree with 8+ years of experience or Master’s degree with 7+ years of software development or validation experience. • Degree should be Computer Engineering or Computer Science • Hands on experience with one or more programming languages (C/C++) and/or scripting languages (Python) • Proficient in AI/ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn) • Experience in defining validation strategy and test plans, developing automated tests, driving debug for issue resolution • A good understanding of Generative AI and LLMs: Possess knowledge of Generative AI and LLMs like Claude, GPT, Opus, with proven ability to train these models for information retrieval and Agentic/Skill Workflow applications to design and deploy GPU Driver Val test content • Strong experience with graphic drivers, GPU hardware and low level GPU programming • Ability to understand Intel Graphics HW and relevant specifications needed to develop/validate the software • Experience working in systems (hardware/software) product development teams • Strong attention to technical details, data analysis, documentation, problem solving and influencing skills, along with ability to work with different geographical locations • Strong written and verbal communication skills • Desire and ability to quickly learn and gain new knowledge Preferred Qualifications: • Experience in Kernel Mode driver development, power management, memory management, scheduler, virtualization, and other components of kernel mode driver including Operating System Concepts • Strong development experience in C/C++/Python • Familiarity with customization techniques at any level of the RAG pipeline such as model fine tuning, retrieval re-ranking, and hierarchical node parsing • Proven skills in using AI/ML techniques using structured and unstructured data • Knowledge of LLM fine tuning techniques like LoRA, PEFT, usage of pipelines, and other techniques like RAG, Prompt Engineering, Agentic and Skill based workflows automation

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location:

India, Bangalore

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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